Angelo Cangelosi | DeepAI

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∙ 08/21/2023

To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills

Communicating shapes our social word. For a robot to be considered socia...

0 Carlo Mazzola, et al. ∙

∙ 07/10/2023

Proceeding of the 1st Workshop on Social Robots Personalisation At the crossroads between engineering and humanities (CONCATENATE)

Nowadays, robots are expected to interact more physically, cognitively, ...

0 Imene Tarakli, et al. ∙

∙ 02/11/2023

Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications

Human-robot interaction (HRI) research is progressively addressing multi...

0 Francesco Semeraro, et al. ∙

∙ 09/12/2022

HandMime: Sign Language Fingerspelling Acquisition via Imitation Learning

Learning fine-grained movements is among the most challenging topics in ...

0 Federico Tavella, et al. ∙

∙ 09/01/2022

CASPER: Cognitive Architecture for Social Perception and Engagement in Robots

Our world is being increasingly pervaded by intelligent robots with vary...

11 Samuele Vinanzi, et al. ∙

∙ 03/11/2022

WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language

Signed Language Processing (SLP) concerns the automated processing of si...

0 Federico Tavella, et al. ∙

∙ 10/14/2021

Human-Robot Collaboration and Machine Learning: A Systematic Review of Recent Research

Technological progress increasingly envisions the use of robots interact...

0 Francesco Semeraro, et al. ∙

∙ 10/01/2021

Phonology Recognition in American Sign Language

Inspired by recent developments in natural language processing, we propo...

0 Federico Tavella, et al. ∙

∙ 05/07/2021

The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems

The trustworthiness of Robots and Autonomous Systems (RAS) has gained a ...

4 Hongmei He, et al. ∙

∙ 01/26/2021

When Would You Trust a Robot? A Study on Trust and Theory of Mind in Human-Robot Interactions

Trust is a critical issue in Human Robot Interactions as it is the core ...

0 Wenxuan Mou, et al. ∙

∙ 08/26/2020

At Your Service: Coffee Beans Recommendation From a Robot Assistant

With advances in the field of machine learning, precisely algorithms for...

0 Jacopo de Berardinis, et al. ∙

∙ 08/05/2020

A Robot that Counts Like a Child – a Developmental Model of Counting and Pointing

In this paper, a novel neuro-robotics model capable of counting real ite...

0 Leszek Pecyna, et al. ∙

∙ 06/20/2020

Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives

The acquisition of symbolic and linguistic representations of sensorimot...

5 Junpei Zhong, et al. ∙

∙ 08/20/2019

Human activity recognition from skeleton poses

Human Action Recognition is an important task of Human Robot Interaction...

0 Frederico Belmonte Klein, et al. ∙

∙ 08/15/2019

Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction

Deep reinforcement learning has proven to be a great success in allowing...

0 Mohammad Thabet, et al. ∙

∙ 07/09/2019

Influence of Pointing on Learning to Count: A Neuro-Robotics Model

In this paper a neuro-robotics model capable of counting using gestures ...

0 Leszek Pecyna, et al. ∙

∙ 07/09/2019

A Deep Neural Network for Finger Counting and Numerosity Estimation

In this paper, we present neuro-robotics models with a deep artificial n...

9 Leszek Pecyna, et al. ∙

∙ 04/17/2018

Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model

Studies suggest that within the hierarchical architecture, the topologic...

0 Junpei Zhong, et al. ∙

∙ 04/11/2018

AFA-PredNet: The action modulation within predictive coding

The predictive processing (PP) hypothesizes that the predictive inferenc...

0 Junpei Zhong, et al. ∙

∙ 09/12/2017

Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers

Group emotion recognition in the wild is a challenging problem, due to t...

0 Luca Surace, et al. ∙

∙ 09/11/2017

Autonomous Quadrotor Landing using Deep Reinforcement Learning

Landing an unmanned aerial vehicle (UAV) on a ground marker is an open p...

0 Riccardo Polvara, et al. ∙

∙ 06/08/2017

Where is my forearm? Clustering of body parts from simultaneous tactile and linguistic input using sequential mapping

Humans and animals are constantly exposed to a continuous stream of sens...

0 Karla Stepanova, et al. ∙

∙ 02/07/2017

Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models

The abstraction tasks are challenging for multi- modal sequences as they...

0 Junpei Zhong, et al. ∙

∙ 05/11/2016

Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs

The paper presents a neurorobotics cognitive model to explain the unders...

0 Junpei Zhong, et al. ∙

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